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paperback. Etat : Very Good. Fast Shipping - Safe and Secure 7 days a week.

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Etat : New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

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hardcover. Etat : New. Brand new. Hardback. Two volume set. Ships from Friends bookstore to benefit Beaverton (Oregon) library.

Taschenbuch. Etat : Neu. Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference | Proceedings of the EANN 2020 | Lazaros Iliadis (u. a.) | Taschenbuch | Proceedings of the International Neural Networks Society | xxvii | Englisch | 2020 | Springer | EAN 9783030487904 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book gathers the proceedings of the 21st Engineering Applications of Neural Networks Conference, which is supported by the International Neural Networks Society (INNS). Artificial Intelligence (AI) has been following a unique course, characterized by alternating growth spurts and 'AI winters.' Today, AI is an essential component of the fourth industrial revolution and enjoying its heyday. Further, in specific areas, AI is catching up with or even outperforming human beings. This book offers a comprehensive guide to AI in a variety of areas, concentrating on new or hybrid AI algorithmic approaches with robust applications in diverse sectors.One of the advantages of this book is that it includes robust algorithmic approaches and applications in a broad spectrum of scientific fields, namely the use of convolutional neural networks (CNNs), deep learning and LSTM in robotics/machine vision/engineering/image processing/medical systems/the environment; machine learning and meta learning applied to neurobiological modeling/optimization; state-of-the-art hybrid systems; and the algorithmic foundations of artificial neural networks.…

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Etat : New. 2nd edition NO-PA16APR2015-KAP.

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Etat : New. pp. 619.

Paperback. Etat : Brand New. 648 pages. 9.25x6.10x1.30 inches. In Stock.

Hardcover. Etat : Brand New. pck edition. 990 pages. 9.75x7.00x2.50 inches. In Stock.

Etat : New. KlappentextThe Handbook on Computer Learning and Intelligence is a second edition which aims to be a one-stop-shop for the various aspects of the broad research area of computer learning and intelligence. This field of research evolved s.

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Buch. Etat : Neu. Neuware - The Handbook on Computer Learning and Intelligence is a second edition which aims to be a one-stop-shop for the various aspects of the broad research area of computer learning and intelligence. This field of research evolved so much in the last five years that it necessitates this new edition of the earlier Handbook on Computational Intelligence.This two-volume handbook is divided into five parts. Volume 1 covers Explainable AI and Supervised Learning. Volume 2 covers three parts: Deep Learning, Intelligent Control, and Evolutionary Computation. The chapters detail the theory, methodology and applications of computer learning and intelligence, and are authored by some of the leading experts in the respective areas. The fifteen core chapters of the previous edition have been written and significantly refreshed by the same authors. Parts of the handbook have evolved to keep pace with the latest developments in computational intelligence in the areas that span across Machine Learning and Artificial Intelligence. The Handbook remains dedicated to applications and engineering-orientated aspects of these areas over abstract theories.Related Link(s).…

Hardcover. Etat : Brand New. 12 edition. 384 pages. 9.84x6.77x0.94 inches. In Stock. This item is printed on demand.

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Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Is dedicated to advancing the state of the art in AI algorithms and their applicationsServes as a source of inspiration for colleagues from various scientific domainsPresents new algorithms and new hy.…

Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book gathers the proceedings of the 21st Engineering Applications of Neural Networks Conference, which is supported by the International Neural Networks Society (INNS). Artificial Intelligence (AI) has been following a unique course, characterized by alternating growth spurts and 'AI winters.' Today, AI is an essential component of the fourth industrial revolution and enjoying its heyday. Further, in specific areas, AI is catching up with or even outperforming human beings. This book offers a comprehensive guide to AI in a variety of areas, concentrating on new or hybrid AI algorithmic approaches with robust applications in diverse sectors.One of the advantages of this book is that it includes robust algorithmic approaches and applications in a broad spectrum of scientific fields, namely the use of convolutional neural networks (CNNs), deep learning and LSTM in robotics/machine vision/engineering/image processing/medical systems/the environment; machine learning and meta learning applied to neurobiological modeling/optimization; state-of-the-art hybrid systems; and the algorithmic foundations of artificial neural networks. 648 pp. Englisch.…

Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -A compact sequence encoding scheme for online human activity recognition in HRI applications.- Classification of Coseismic Landslides using Fuzzy and Machine Learning Techniques.- Evaluating the Transferability of Personalised Exercise Recognition Models.- Deep Learning-Based Computer Vision Application with Multiple Built-In Data Science-Oriented Capabilities.- Visual Movement Prediction for Stable Grasp Point Detection.- Accomplished level of reliability for seismic structural damage prediction using artificial neural networks.- Efficient Implementation of a Self-Sufficient Solar-Powered Real-Time Deep Learning-Based System.- Leveraging Radar Features to Improve Point Clouds Segmentation with Neural Networks.- LSTM Neural Network for Fine-Granularity Estimation on Baseline Load of Fast Demand Response.- Predicting Permeability Based On Core Analysis.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 648 pp. Englisch.…

Etat : New. Print on Demand pp. 619.

Etat : New. PRINT ON DEMAND pp. 619.